Which proportional reduction in error-based measure of association for nominal data uses marginals to reduce prediction errors? a. phi (ϕ).
b. contingency coefficient C.
c. Cramer’s V.
d. Goodman and Kruskal’s tau (τ).
e. lambda (λ).

7.25

step-by-step explanation:

we know that 7 equals to 7.0. we also know that 1/4=0.25. so we can add the two together and we get 7.25

x coordinate can be written by using the formula, x= x1 + 2/5(x2 - x1)

step-by-step explanation:

formula

x = x1 + p/w(x2 - x1)

let the line segment ab with a(x1,y1) and b(x2,y2)

a point(x,y) divide ab in the ratio, 2: 3 the x coordinate can be written as

x = x1 + p/w(x2 - x1)

here p=2 and w = 2+3

therefore,

x coordinate can be written by using the formula, x= x1 + 2/5(x2 - x1)

similarly y coordinate y = y1 + 2/5(y2 - y1)

answer: sherk

step-by-step explanation:

just give up and watch the best anime ever sherk